Job Description
We are not building for today; we are building for the critical year of 2026. As the landscape of Artificial Intelligence accelerates, Nexus Horizon is seeking a visionary AI Architect to lead the development of autonomous, self-improving systems. This is a rare opportunity to define the infrastructure of the future and shape the next generation of human-AI collaboration.
In this role, you will bridge the gap between theoretical AI research and production-grade engineering, ensuring our platforms are scalable, ethical, and capable of operating independently in complex environments.
Responsibilities
- Architect Future AI Systems: Design and implement the core neural architectures required for autonomous agents expected in the 2026 era.
- Orchestrate Multi-Agent Workflows: Build complex, decentralized systems where AI agents collaborate to solve high-level problems without human intervention.
- Optimize Performance: Continuously refine model inference speeds and reduce computational costs for large-scale deployments.
- Ethical AI Governance: Establish and enforce safety protocols and ethical guidelines for autonomous decision-making processes.
- Strategic Roadmapping: Work closely with the CTO to define the 3-5 year technical roadmap, anticipating shifts in the 2026 tech landscape.
- Mentorship: Lead a team of senior engineers and data scientists, fostering a culture of innovation and technical excellence.
Qualifications
- Advanced Education: Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- Deep Learning Expertise: 8+ years of experience with Deep Learning frameworks (PyTorch, TensorFlow) and experience with Large Language Models (LLMs).
- Autonomous Systems: Proven track record of designing systems for Reinforcement Learning (RL) or Autonomous Agents.
- Scalability: Demonstrated ability to architect systems that handle millions of requests with sub-millisecond latency.
- Communication: Exceptional ability to translate complex technical concepts into strategic business value for stakeholders.
- Future-Forward Thinking: A strong intuition for emerging trends in AI, specifically regarding the trajectory toward AGI by 2026.